Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/328795 
Year of Publication: 
2023
Citation: 
[Journal:] Economies [ISSN:] 2227-7099 [Volume:] 11 [Issue:] 6 [Article No.:] 170 [Year:] 2023 [Pages:] 1-12
Publisher: 
MDPI, Basel
Abstract: 
This study's primary objective is to investigate the impact of stressful living environments and extreme weather conditions on youth's education. For the fulfillment of this objective, the unique and latest methodology, such as second-generation unit root, cross-sectional ARDL, and the Westerlund approach are used on panel data taken from India and Pakistan. The cross-sectional dependency test is also employed to determine the internal correlations between cross-sections. The results indicate that there are long- as well as short-run relationships between variables. This study helps to develop policies to manage natural disasters, as well as provide the theoretical background to reduce the stressful living environment.
Subjects: 
stressful living environment
extreme weather events
education
cross-sectional dependency
CS-ARDL
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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